Mission: LiveRamp makes it safe and easy for businesses to use data effectively.
The Data Access team provides cutting edge data management and segmentation solutions to our customers at petabyte scale. We are now evolving our system to the next level for both batch and real-time use cases on a modern stack. You will immediately have an impact in solving our most challenging problems.
- Work on a massively scalable data management system that performs stateful operations on petabytes of data and real time segmentation with accurate counts for people-based marketing. If you enjoy advanced query processing engines, indexing strategies, and database engines in general, this could be a fit.
- Tackle challenging problems such as implementing SOA and Kubernetes at scale, reliably coordinating thousands of batch jobs per day, and overhauling our data tier on GCP and beyond.
- Own product features from the development phase through to production deployment. ● Evaluate big data technologies and prototype solutions to improve our data processing architecture.
Your team will:
- Provide data management and segmentation capabilities to our internal and external customers.
- Rearchitect legacy systems and solidify our next gen architecture as we move to support batch and real-time use cases.
- Discover and deliver innovative solutions to our customers’ most difficult challenges at mind-boggling scale.
- 5+ years of experience writing and deploying production code of which at least 2+ years’ experience is working on a Big Data platform
- Experience with data processing platforms such as Hadoop, Spark, Hive, Pig ● Deep understanding of large-scale data processing systems
- Solid programming skills in Java or Scala
- Understanding of automated QA needs related to Big data
- Experience with Cloud providers like AWS, Azure, GCP
- Bachelors or Masters in Computer Science, Information Technology, Engineering, or related field or commensurate work experience
- Spring Boot
- Stream processing - Spark streaming, Apache Kafka, Apache Storm, Flink ● Search indexing such as Lucene, Solr, Nutch, Elasticsearch
- Modern datastores such as MongoDB, Cassandra, Riak, Azure Cosmos DB, Aerospike ● Experience as a formal tech lead
- Designing and implementing interfaces and infrastructure for large volume services and RESTful APIs
- People: work with talented, collaborative, and friendly people who love what they do. ● In-Office Food: enjoy catered meals, boundless snacks, and the occasional food truck. ● Fun: we host in-person and virtual events such as game nights, happy hours, camping trips, and sports leagues.
- Work/Life Harmony: flexible paid time off, remote work opportunities, and paid parental leave.
- Whole Health Package: medical, dental, vision, and disability insurance. Plus mental health support (via Talkspace) and fitness reimbursement up to $100 per month. ● Savings: our 401K matching plan helps you plan ahead.
- Remote Work Support: a comprehensive program to assist you in setting up a home office that works for you
- Location: work in the heart of San Francisco